Chayka vs Tuapse: result 5-0 and analysis
Second League - Group 1Group 1 - 34Kick-off on June 5, 2022 at 04:00 PM (UTC)Stadion Central’nyj im. I.P. Chayka, Peschanokopskoye
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What was the result of Chayka vs Tuapse?
Chayka won 5-0 on June 5, 2022.
Goalscorers
- 6′I. VostrikovChayka
- 8′I. VostrikovChayka
- 37′I. VostrikovChayka
- 39′I. OleynikovChayka (pen.)
- 52′I. OleynikovChayka
What is the recent form of both teams?
Over their last 15 matches in all competitions, Chayka have 8 wins, 4 draws and 3 defeats; Tuapse have 6, 1 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 29, 2022 | Rotor-2(away) | 8-1 | Second League - Group 1 |
| May 22, 2022 | Dinamo Makhachkala(home) | 1-2 | Second League - Group 1 |
| May 16, 2022 | Forte Taganrog(away) | 3-2 | Second League - Group 1 |
| May 12, 2022 | Kuban Kholding(home) | 1-1 | Second League - Group 1 |
| May 6, 2022 | Alaniya Vladikavkaz II(away) | 7-0 | Second League - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 30, 2022 | Spartak Nalchik(home) | 0-4 | Second League - Group 1 |
| May 22, 2022 | Mashuk-KMV(away) | 3-1 | Second League - Group 1 |
| May 16, 2022 | Legion Dynamo(home) | 0-5 | Second League - Group 1 |
| May 12, 2022 | Biolog(away) | 0-1 | Second League - Group 1 |
| May 6, 2022 | Essentuki(home) | 3-0 | Second League - Group 1 |
What does the head-to-head say?
Across the last 1 meetings: 1 Chayka win(s), 0 draw(s), 0 Tuapse win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 24, 2021 | Tuapse 0-3 Chayka | Second League - Group 1 |
How many goals should we expect?
Chayka score 2.7 and concede 1.1 goals per match over their last 15; Tuapse score 1.3 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Chayka | 2.7 | 1.1 | 6 | 8/15 | 10/15 |
| Tuapse | 1.3 | 1.9 | 1 | 6/15 | 11/15 |
Over the last 15 matches in all competitions.
How does Footlab compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy